Validate and lint YAML files with detailed error reporting
Developer Tools
About This Tool
YAML Linter is an online tool that validates YAML syntax with real-time error detection. It checks for indentation errors, tab characters, empty keys, and structural issues, providing detailed error messages with line numbers and fix suggestions. It also supports auto-formatting and JSON output for valid YAML.
Key Features
- Real-time YAML syntax validation with 300ms debounce
- Detailed error messages with line numbers and fix suggestions
- Auto-format to re-indent YAML with consistent spacing
- Paste from clipboard and copy JSON output
- Valid YAML is automatically converted to JSON
- Detects indentation, tab, empty key, and structural errors
Use Cases
- Validate Kubernetes configuration files before deployment
- Check CI/CD pipeline YAML for syntax errors
- Lint Docker Compose files for correctness
- Verify Ansible playbook structure and indentation
- Debug YAML parsing failures in application configurations
yaml
linter
validator
configuration
devops
Frequently Asked Questions
What does the YAML Linter do?
The YAML Linter validates YAML syntax in real time, detecting indentation errors, tab characters, empty keys, and structural issues. It provides detailed error messages with line numbers and fix suggestions.
Does the linter support auto-formatting?
Yes, the YAML Linter includes an auto-format feature that re-indents your YAML code with consistent spacing and then re-validates it automatically.
What types of errors can the YAML Linter detect?
It can detect indentation errors, tab characters, empty mapping keys, unquoted colons in values, unmatched braces and brackets, and incorrect document separators.
Is my YAML data sent to any server?
No. All validation and formatting happens locally in your browser. Your YAML code is never uploaded or transmitted to any server, ensuring your data remains completely private and secure.
Does the linter validate against YAML specifications?
The linter checks for common syntax and structural issues that cause YAML parsing failures. It focuses on practical error detection including indentation, tab usage, and structural consistency.